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公开(公告)号：US20090248627A1
公开(公告)日：2009-10-01
申请号：US12056703
申请日：2008-03-27
IPC分类号： G06F17/30
CPC分类号： G06Q30/02 , G06F16/90335 , G06F16/951
摘要： A system and method are disclosed for rewriting queries. The queries may be rewritten into a bid phrase for identifying search results and/or advertisements. The bid phrase may be a keyword that is purchased for sponsored searching. A mapping between potential queries and bid phrases may be generated. The mapping may be referenced upon receiving a search query for identifying a query rewrite with a bid phrase for that search query. The mapping may be generated in preprocessing.
摘要翻译： 公开了用于重写查询的系统和方法。 查询可以被重写成用于识别搜索结果和/或广告的出价短语。 出价短语可以是为赞助搜索而购买的关键字。 可能会生成潜在查询和出价短语之间的映射。 可以在接收到用于识别具有该搜索查询的出价短语的查询重写的搜索查询时引用该映射。 可以在预处理中生成映射。
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公开(公告)号：US20120166291A1
公开(公告)日：2012-06-28
申请号：US12977313
申请日：2010-12-23
IPC分类号： G06Q30/00
CPC分类号： G06Q30/0256 , G06Q30/0273 , G06Q30/0275
摘要： A system and method of generating bid values for sponsored search includes steps or acts of: receiving a bid phrase for an advertisement for an item, wherein the bid phrase specifies a search query for which the advertisement should be displayed; receiving first information at a first input/output interface, the first information related to a bidding behavior of the advertiser; receiving second information at a second input/output interface, the second information relating to a history of bids by other advertisers for the bid phrase; and generating a bid value for the bid phrase submitted for the advertisement for the search query, based on the information received.
摘要翻译： 生成赞助搜索的投标价值的系统和方法包括以下步骤或动作：接收用于项目的广告的投标短语，其中所述投标短语指定应显示该广告的搜索查询; 在第一输入/输出界面处接收第一信息，所述第一信息与所述广告主的投标行为相关; 在第二输入/输出界面处接收第二信息，所述第二信息涉及其他广告商针对所述投标短语的出价历史; 以及基于所接收的信息，为针对搜索查询的广告提交的投标短语生成出价值。
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3.发明申请Systems and Methods for Predicting a Degree of Relevance Between Digital Ads and Webpage Content 审中-公开用于预测数字广告与网页内容之间相关程度的系统和方法公开(公告)号：US20090282015A1
公开(公告)日：2009-11-12
申请号：US12116737
申请日：2008-05-07
申请人： Evgeniy Gabrilovich , Vassillis Plachouras , Andrei Broder , Vanessa Murdock , Donald Metzler , Vanja Josifovski , Massimiliano Ciaramita , Marcus Fontoura
发明人： Evgeniy Gabrilovich , Vassillis Plachouras , Andrei Broder , Vanessa Murdock , Donald Metzler , Vanja Josifovski , Massimiliano Ciaramita , Marcus Fontoura
IPC分类号： G06F17/30
CPC分类号： G06Q30/02
摘要： Systems and methods for predicting a degree of relevance between a set of candidate digital ads and webpage content are disclosed. Generally, an ad provider receives a digital ad request associated with webpage content. The ad provider identifies a set of candidate digital ads that may be served in response to the digital ad request. A relevance module extracts a set of features from the set of candidate digital ads and the webpage content, and determines a degree of relevance between the set of candidate digital ads and the webpage content based on a prediction model and the extracted set of features. If the relevance module determines the set of candidate digital ads is relevant to the webpage content, the ad provider may serve one or more digital ads from the set of candidate digital ads in response to the received digital ad request.
摘要翻译： 公开了用于预测一组候选数字广告和网页内容之间的相关程度的系统和方法。 通常，广告提供商接收与网页内容相关联的数字广告请求。 广告提供商确定可以针对数字广告请求提供的一组候选数字广告。 相关性模块从一组候选数字广告和网页内容中提取一组特征，并且基于预测模型和所提取的特征集合确定候选数字广告集合和网页内容之间的相关程度。 如果相关性模块确定候选数字广告的集合与网页内容相关，则广告提供者可以响应于所接收的数字广告请求，从一组候选数字广告服务一个或多个数字广告。
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4.发明申请Systems and Methods for Building a Prediction Model to Predict a Degree of Relevance Between Digital Ads and a Search Query or Webpage Content 审中-公开用于构建预测模型以预测数字广告与搜索查询或网页内容之间的相关程度的系统和方法公开(公告)号：US20090282016A1
公开(公告)日：2009-11-12
申请号：US12116747
申请日：2008-05-07
申请人： Evgeniy Gabrilovich , Vassilis Plachouras , Andrei Broder , Vanessa Murdock , Donald Metzler , Vanja Josifovski , Massimiliano Ciaramita , Marcus Fontoura
发明人： Evgeniy Gabrilovich , Vassilis Plachouras , Andrei Broder , Vanessa Murdock , Donald Metzler , Vanja Josifovski , Massimiliano Ciaramita , Marcus Fontoura
IPC分类号： G06F17/30
CPC分类号： G06Q30/02 , G06F16/951 , G06Q10/04
摘要： Systems and methods for building a prediction model to predict a degree of relevance between digital ads and a search query or webpage content are disclosed. Generally, an indication of relevance is received between a plurality of digital ads and one of a webpage content or a search query. A set of features is extracted from the plurality of digital ads and one of the webpage content or the search query. A prediction model is then built to predict a degree of relevance between the set of candidate digital ads and one of a second webpage content or a second search query, where the prediction model is built based at least one the received indication of relevance and the extracted set of features.
摘要翻译： 公开了用于构建预测模型以预测数字广告与搜索查询或网页内容之间的相关程度的系统和方法。 通常，在多个数字广告和网页内容之一或搜索查询之间接收到相关性的指示。 从多个数字广告和网页内容或搜索查询之一提取一组特征。 然后构建预测模型以预测候选数字广告集合与第二网页内容或第二搜索查询之一之间的相关程度，其中基于所接收到的相关性指示中的至少一个构建预测模型，并且提取 一套功能。
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5.发明申请Systems and Methods for Predicting a Degree of Relevance Between Digital Ads and a Search Query 审中-公开用于预测数字广告与搜索查询之间相关程度的系统和方法公开(公告)号：US20090282014A1
公开(公告)日：2009-11-12
申请号：US12116710
申请日：2008-05-07
申请人： Evgeniy Gabrilovich , Vassilis Plachouras , Andrei Broder , Vanessa Murdock , Donald Metzler , Vanja Josifovski , Massimiliano Ciaramita , Marcus Fontoura
发明人： Evgeniy Gabrilovich , Vassilis Plachouras , Andrei Broder , Vanessa Murdock , Donald Metzler , Vanja Josifovski , Massimiliano Ciaramita , Marcus Fontoura
IPC分类号： G06F17/30
CPC分类号： G06Q30/02 , G06F16/334 , G06F16/951
摘要： Systems and methods for predicting a degree of relevance between a set of candidate digital ads and a search query are disclosed. Generally, an ad provider receives a digital ad request associated with a search query. The ad provider identifies a set of candidate digital ads that may be served in response to the digital ad request. A relevance module extracts a set of features from the set of candidate digital ads and the search query associated with the digital ad request, and determines a degree of relevance between the set of candidate digital ads and the search query based on a prediction model and the extracted set of features. If the relevance module determines the set of candidate digital ads is relevant to the search query, the ad provider may serve one or more digital ads from the set of candidate digital ads in response to the received digital ad request.
摘要翻译： 公开了用于预测一组候选数字广告与搜索查询之间的相关程度的系统和方法。 通常，广告提供商接收与搜索查询相关联的数字广告请求。 广告提供商确定可以针对数字广告请求提供的一组候选数字广告。 相关性模块从所述候选数字广告集合和与数字广告请求相关联的搜索查询提取一组特征，并且基于预测模型确定候选数字广告集合和搜索查询之间的相关程度，并且 提取一组功能。 如果相关性模块确定候选数字广告的集合与搜索查询相关，则广告提供者可以响应于接收到的数字广告请求，从一组候选数字广告服务一个或多个数字广告。
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6.发明申请IDENTIFICATION OF RELATED BID PHRASES AND CATEGORIES USING CO-BIDDING INFORMATION 审中-公开使用共同投标信息识别相关投标单和类别公开(公告)号：US20100293184A1
公开(公告)日：2010-11-18
申请号：US12465077
申请日：2009-05-13
申请人： Vanja Josifovski , Andrei Broder , Patrick Pantel , Ana-Maria Popescu , Evgeniy Gabrilovich , William Swei Chang
发明人： Vanja Josifovski , Andrei Broder , Patrick Pantel , Ana-Maria Popescu , Evgeniy Gabrilovich , William Swei Chang
IPC分类号： G06F17/30
摘要： The present invention provides a method and system for determining related bid terms. The method and system includes accessing a term database to determine a plurality of term pairs, the term pairs being paired terms bidded together in a term bidding operating environment. In the method and system, for each of the plurality of term pairs, the method and system includes determining similarity values for each of the term pairs. The method and system further includes generating a similarity matrix using the determined similarity values. And, the method and system includes generating an output result based on a co-bidded relationship between at least one of the terms and advertising information.
摘要翻译： 本发明提供了一种用于确定相关投标术语的方法和系统。 方法和系统包括访问术语数据库以确定多个术语对，术语对是在术语投标操作环境中一起投标的配对术语。 在方法和系统中，对于多个术语对中的每一个，该方法和系统包括确定每个术语对的相似度值。 所述方法和系统还包括使用所确定的相似度值来生成相似性矩阵。 并且，所述方法和系统包括基于所述术语中的至少一个与广告信息之间的共同关系生成输出结果。
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公开(公告)号：US20100161605A1
公开(公告)日：2010-06-24
申请号：US12342449
申请日：2008-12-23
申请人： Evgeniy Gabrilovich , Andrei Broder , Bo Pang , Vanja Josifovski , Hila Becker
发明人： Evgeniy Gabrilovich , Andrei Broder , Bo Pang , Vanja Josifovski , Hila Becker
IPC分类号： G06F17/30
CPC分类号： G06F17/30731 , G06Q30/02
摘要： A computer-implemented method is disclosed for determining a type of landing page to which to transfer web searchers that enter a particular query, the method comprising: classifying a landing page as one of a plurality of landing page classes with a trained classifier of a computer based on textual content of the landing page; determining, by the computer, characteristics of one or more query to be associated with the landing page; and choosing, with the computer, whether to retain or to change classification of the landing page to be associated with the one or more query based on relative average conversion rates of advertisements on a plurality of manually-classified landing pages when associated with the characteristics of the one or more query.
摘要翻译： 公开了一种用于确定输入特定查询的网页搜索者的登陆页面的类型的计算机实现的方法，所述方法包括：将着陆页面分类为具有计算机的训练分类器的多个着陆页类别之一 基于着陆页的文字内容; 由计算机确定要与着陆页相关联的一个或多个查询的特征; 并且与计算机一起选择是否基于在与多个手动分类的着陆页上的广告的相对平均转换率相关联来保留或改变与一个或多个查询相关联的着陆页的分类，当与 一个或多个查询。
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公开(公告)号：US20100106704A1
公开(公告)日：2010-04-29
申请号：US12260812
申请日：2008-10-29
申请人： Vanja Josifovski , Evgeniy Gabrilovich , Andrei Broder , Bo Pang , Xuerui Wang
发明人： Vanja Josifovski , Evgeniy Gabrilovich , Andrei Broder , Bo Pang , Xuerui Wang
CPC分类号： G06F17/289 , G06F16/3338
摘要： The subject matter disclosed herein relates to cross-lingual query classification.
摘要翻译： 本文公开的主题涉及跨语言查询分类。
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9.发明申请AD MATCHING BY AUGMENTING A SEARCH QUERY WITH KNOWLEDGE OBTAINED THROUGH SEARCH ENGINE RESULTS 审中-公开通过搜索引擎结果获得知识获取搜索查询的AD匹配公开(公告)号：US20090254512A1
公开(公告)日：2009-10-08
申请号：US12062271
申请日：2008-04-03
CPC分类号： G06Q30/02 , G06F16/951
摘要： A method is provided to match an advertisement to a search query comprising: receiving search results produced by a search engine in response to a search query; producing an ad query that includes, unigram features, classification features with respect to an external classification system, and phrase features; producing a plurality of representations of corresponding advertisements in terms of the same types of features; and selecting one or more advertisements based upon a measure of similarity of ad query features to advertisements represented in terms of the same features.
摘要翻译： 提供了一种将广告与搜索查询相匹配的方法，包括：响应于搜索查询，接收由搜索引擎产生的搜索结果; 产生包括关于外部分类系统的单位特征，分类特征和短语特征的广告查询; 根据相同类型的特征产生相应广告的多个表示; 以及基于广告查询特征与由相同特征表示的广告的相似度的度量来选择一个或多个广告。
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公开(公告)号：US08886636B2
公开(公告)日：2014-11-11
申请号：US12342449
申请日：2008-12-23
申请人： Evgeniy Gabrilovich , Andrei Broder , Bo Pang , Vanja Josifovski , Hila Becker
发明人： Evgeniy Gabrilovich , Andrei Broder , Bo Pang , Vanja Josifovski , Hila Becker
CPC分类号： G06F17/30731 , G06Q30/02
摘要： A computer-implemented method is disclosed for determining a type of landing page to which to transfer web searchers that enter a particular query, the method comprising: classifying a landing page as one of a plurality of landing page classes with a trained classifier of a computer based on textual content of the landing page; determining, by the computer, characteristics of one or more query to be associated with the landing page; and choosing, with the computer, whether to retain or to change classification of the landing page to be associated with the one or more query based on relative average conversion rates of advertisements on a plurality of manually-classified landing pages when associated with the characteristics of the one or more query.
摘要翻译： 公开了一种用于确定输入特定查询的网页搜索者的登陆页面的类型的计算机实现的方法，所述方法包括：将着陆页面分类为具有计算机的训练分类器的多个着陆页类别之一 基于着陆页的文字内容; 由计算机确定要与着陆页相关联的一个或多个查询的特征; 并且与计算机一起选择是否基于在与多个手动分类的着陆页上的广告的相对平均转换率相关联来保留或改变与一个或多个查询相关联的着陆页的分类，当与 一个或多个查询。
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